Efficiently Learning One Hidden Layer Neural Networks From Queries Sitan Chen

Model extraction attacks have renewed interest in the classic problem of learning neural networks from queries. This work gives the first polynomial-time algorithm for learning one hidden layer neural networks provided black-box access to the network.